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H-非线性方程组的一种高效迭代解法 被引量:2

A HIGH EFFICIENCY ITERATIVE SOLUTION METHOD FOR H-NONLINEAR EQUATION SYSTEMS
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摘要 For the H-nonlinear equation systems produced by stiff nonlinear function f(y): y ∈ Rm→Rm, the paper presents a new Newton-like iterative so- lution method: completely-square method, establishes its convergence theory and offers four simple algorithms for approximate calculation of optimum iterative pa- rameter in this method. The iterative method do not need to compute(f’)2, and LU-decomposition only need to be done for some m × m matrix. Numerical examples show that if appropriate approximate optimum iterative parameter is selected on the coefficients in the hybrid method that products the H-nonlinear equation systems then the iterative solution method in the paper is high efficiency. For the H-nonlinear equation systems produced by stiff nonlinear function f(y): y ∈ Rm→Rm, the paper presents a new Newton-like iterative so- lution method: completely-square method, establishes its convergence theory and offers four simple algorithms for approximate calculation of optimum iterative pa- rameter in this method. The iterative method do not need to compute(f')2, and LU-decomposition only need to be done for some m × m matrix. Numerical examples show that if appropriate approximate optimum iterative parameter is selected on the coefficients in the hybrid method that products the H-nonlinear equation systems then the iterative solution method in the paper is high efficiency.
出处 《计算数学》 CSCD 北大核心 2000年第4期417-428,共12页 Mathematica Numerica Sinica
基金 国家自然科学基金
关键词 H-非线性方程组 迭代解法 收敛性 守全平方迭代法 微分方程组 H-nonlinear equation system, Convergence of iteration Solution method, Completely-square iteration method, Hybrid method for stiff problem, A0-stability
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同被引文献4

  • 1司建国.一类迭代方程C^1类解的讨论[J].数学学报(中文版),1996,39(2):247-256. 被引量:10
  • 2N.Aronszain. Theory of reproducing Kernels, Trans, Amer, Math. soc., 68(1950), 337.
  • 3Cui Ming-Gen. Two-dimensional Reproducing Kernel and surface interpolation, J. Comp.Math., 4:2(1986), 177.
  • 4Lingbin Kong.Multiple positive solutions for the one-dimensional p-Laplacian,Nonlinear Analysis,42(2000),1327.

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